Analytics Engineer – Supply Data Solutions

• Take full ownership of supply data and turn it into reliable, analysis-ready datasets
• Partner with Data Scientists, Analysts, and Supply stakeholders to establish a clean source of truth
• Identify overlapping data needs across forecasts, optimisation, and reporting
• Create reusable mart tables
• Simplify data transformations for downstream teams
• Build and monitor Python and GCP pipelines
• Document schemas, lineage, and data contracts
• Manage IAM roles, data-access boundaries, cost monitoring, performance tuning, and data validity checks
• Mentor junior analysts and raise SQL skills across the Supply unit

• 3+ years of professional analytics engineering experience (or similar)
• Advanced SQL skills, including complex CTEs, window functions, and query optimisation
• Strong Python skills for ETL and orchestration
• Hands-on experience with GCP, BigQuery, Git, and CI/CD
• Ability to analyse complex systems and design structured improvement plans
• Proactive ownership of platform health, monitoring, governance, and reliability
• Ability to balance long-term system design with immediate business value
• Ability to collaborate across teams to establish data contracts and align stakeholders
• Experience with dbt or Dagster is a nice-to-have
• Familiarity with AWS Batch, Lambda, and Step Functions is a nice-to-have
• Supply chain or logistics domain knowledge is a nice-to-have
• Exposure to data cataloging and data observability platforms is a nice-to-have

• Remote work options
• Flat hierarchies and direct communication
• Team lunches
• Afterwork drinks
• Company events
• Inclusive and welcoming work environment
• Acceptance and inclusion
• Fairer approach to fashion